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Information Technology Journal
  Year: 2010 | Volume: 9 | Issue: 8 | Page No.: 1659-1664
DOI: 10.3923/itj.2010.1659.1664
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A Novel Energy Detection Algorithm for Spectrum Sensing in Cognitive Radio

Yaqin Zhao, Shuying Li, Nan Zhao and Zhilu Wu

This study focuses on a novel energy detection algorithm for spectrum sensing in cognitive radio networks. How to set the decision threshold is the key part of the energy detection and our novel energy detection gives out a new method to set the threshold via the experiment results. In the conventional energy detection, the threshold is set by the energy that changes with the SNR, however, the ratio of the maximum energy to the mean energy of the received signal, which is dimensionless and nearly a constant, is used to set it in this study. At the same time, the fourth-order moments are used in the novel energy detection algorithm. The performance of this novel algorithm is investigated by Monte-Carlo simulation and compared with that of the conventional energy detection and enhanced energy detection algorithms. The simulation results show that the performance of the proposed algorithm is enhanced by at least 3 dB, when Pd is lager than 0.8, comparing with the enhanced energy detection in Hao’s study.
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  •    A Modified Energy Detection Algorithm for S-band Electronic Surveillance
  •    Wavelet Supersede FFT in MB-OFDM: an Effective Cognitive Spectrum Sensing
  •    Optimal Cooperative Sensing Assignment and Radio Resource Allocations for Cognitive Radio Systems
  •    Spectrum Sensing in Cognitive Radio Based on Adaptive Optimal SVM
  •    Multi-Objective Resources Allocation for OFDM-Based Cognitive Radio Systems
How to cite this article:

Yaqin Zhao, Shuying Li, Nan Zhao and Zhilu Wu, 2010. A Novel Energy Detection Algorithm for Spectrum Sensing in Cognitive Radio. Information Technology Journal, 9: 1659-1664.

DOI: 10.3923/itj.2010.1659.1664


06 April, 2011
sara sameh:
I need to know what is the threshold that you compared Tb with.. and thanks




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